Success Stories from Udacity's Students

Udacity is the only place to offer this kind of opportunity. We have collaborated with the best companies in the field to offer world-class curriculum with instructors. This program provides a broad introduction to the field of artificial intelligence that can help you maximize your potential as an artificial intelligence or machine learning engineer. Almost any student anywhere in the world with an internet connection can study the field of artificial intelligence through Udacity.

Our free courses are an excellent way to refresh your skills on a particular topic, or address a particular arena where you may need to advance your skills in order to pursue the next stage of your learning. But to benefit from the full measure of what Udacity can do to support your career goals, you’ll want to enroll in the Nanodegree program, where you’ll gain access to project reviews, classroom mentorship, personalized career guidance, and more. The Nanodegree program is also the best way to pursue specializations, as you’ll benefit from exclusive access to unique content.

While some of the video material is available outside of the program, most of the material will only be available to enrolled Nanodegree students. Access to project feedback, instructor support, and hiring partners are benefits exclusive to the Nanodegree programs.

To read more about our Nanodegree program structure, please refer to
Udacity FAQ
.

The program is online, and students interact with peers, mentors, coaches, and instructors in our virtual classrooms, in forums, and on Slack.

Yes! We admit students on a rolling basis, and you will automatically be added to the next available term once you've successfully enrolled.

When you enroll, you are automatically added to the next available term. Every term has a fixed start date, and content becomes available on that date. Please note: You can enter es, but you won't be able to access the content, as it stays locked until your term begins. In the classroom, you'll see a countdown to your term's start date.

No, deferments are not an option. We ask that you please make sure to enroll for a term only if you are able to commit to the entire time frame.

No. This is not a self-paced program. Students will need to keep pace with their peers throughout the duration of the program and complete all graduation requirements before the term end date (plus any allowed extension).

The fixed-term nature of the program, and the need for maintaining a consistent and stable student body throughout, precludes offering the option to pause your studies.

It is strongly recommended that you complete each project on time to ensure you meet graduation requirements. To graduate, you must complete, submit, and meet expectations for all required projects by the final deadline . While there is no penalty for missing a project deadline, missing one puts you at risk to be removed from the program if you do not stay on track and complete all required projects before the term ends. Finally, by keeping pace with your fellow students, you'll gain much more value from forums and Slack channels!

You will receive a free four-week extension, which is automatically applied to your account if you do not complete the program within the term. If you do not complete the program within the extension, you will be removed from the program and will no longer be able to access course content. To resume access to the course, you would need to pay the term fee again. In such case, your progress will carry over, so you will be able to continue where you left off.

No. You will retain access to the program materials for a period of time after graduation and you may download certain materials for your own records if you wish. Please note however, that students who leave the program—or who are removed from the program for failure to meet the final deadlines—prior to successfully graduating, will cease to have access.

This Nanodegree program consists of one three month term. The term costs €799 (local curreny shown on page), paid at the beginning of the term.

At this time we only accept credit cards in Europe. Since last year, students in Germany, Austria and Switzerland also have the option to pay via SEPA direct debit. We hope to add more payment options in the near future. Please note that you can always change your payment method.

Yes. In this way, we know exactly how many student are in a term, and can optimize our instructional and support resources accordingly. Additionally, this approach ensures a consistent and stable student body throughout the program, which fosters a deeper sense of community, and enables richer collaborations as students work together as a group.

Given the extended curriculum and the services available to students, it is critical that we know exactly how many students we’ll be supporting and teaching. It’s important that this student body remains consistent and stable throughout the duration of the program as they work together as a group.

There is no free trial period for this program.

There is a 7-day refund policy. During this time, you can visit the Settings page of your Udacity classroom where you can unenroll and request a full refund. This 7-day window begins the day the classroom opens. After the first 7 days, course fees are non-refundable.

You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. Additionally, you should have the following knowledge: Intermediate Python programming knowledge, including:

Basic shell scripting:

Basic statistical knowledge, including:

Intermediate differential calculus and linear algebra, including: Additionally, you should be able to follow and interpret pseudocode for algorithms like the example below and implement them in Python. You should also be able to informally evaluate the time or space complexity of an algorithm. For example, you should be able to explain that a for loop that does constant O(1) work on each iteration over an array of length n has a complexity of O(n). function Hill-Climbing(problem) returns a State current <- Make-Node(problem.Initial-State) loop do neighbor <- a highest-valued successor of current if neighbor.value ≤ current.value then return current.state current <- neighbor

We have a number of courses and programs we can recommend that will help prepare you for the program, depending on the areas you need to address:

Between instructional content, quizzes, projects, and other course-related activity, we estimate that investing 12-15 hours/week will enable you to proceed through the program at a successful pace. Students with significant prior experience may spend less time, while students with very limited prior experience may require significantly more time.

We do not recommend doing so, though we do not prohibit concurrent enrollments. To make the most of your experience, we believe you are best served by focusing on one program at a time and being fully immersed in the unique structure and pacing. You can always take one after the other!

You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages.

This program is designed to build on your skills as an engineer or developer. As such, it doesn't prepare you for a specific job, but expands your skills with artificial intelligence algorithms. These skills can be applied to various applications such as video game AI, pathfinding for robots, and recognizing patterns over time like handwriting and sign language.

Yes! You will receive an Artificial Intelligence Nanodegree program credential after you successfully completed the program.

Many of our graduates continue on to our Robotics Engineer Nanodegree program and our Self-Driving Car Engineer Nanodegree programs. Feel free to explore other Nanodegree program options as well.

Artificial Intelligence

Of course, the debate about workplace classification inevitably gets complex and nuanced depending on the situation. There is no question that the differences across federal and state statutes about how to weigh different factors in classifying workers — whether using the “economic realities” tests associated with the Fair Labor Standards Act or using common law distinctions built around “master / servant” relationships drawn upon by many state statutes — leads to confusion. Hence the issuing of our
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.

But that problem is hardly limited to the realm of employment law. Legal principles always rub up against the realities of the real world. While it’s vital to understand some of the highly technical legal distinctions around employment classification, we can’t forget the problem underlying the misuse of it. Classification, really, is about protecting people in what is inevitably an unequal bargaining relationship: employment.

When we released our guidance document regarding the definition of employment in 2015, the employer defense bar — law firms that specialize in defending employers in lawsuits brought by individuals, class actions, and the government — not surprisingly
expressed concern
over its impact, given the prevalence of the practice. However, the guidance received an unanticipated level of attention from companies operating in the digital world. In particular,
reporters
as well as people in the industry read it as direct response to litigation underway in many places across the country by Uber drivers who asserted that they had been misclassified as independent contractors. As I have often noted
in interviews
, our guidance was focused on the millions of workers who were potentially misclassified as independent contractors in the fissured workplace, and not merely the less than 1% of workers operating in the digitally enabled gig economy.

I was also struck by
commentary
from leaders at digital platforms in Silicon Valley, as well as our own discussions with executives, venture capital companies, and workers. Most indicated that they viewed an independent contractor status as the default option for employment. And in a few cases, they were probably right. Some platform models truly serve the function of connecting end users seeking particular services with a host of providers who act as independent businesses seeking customers (think Task Rabbit). The providers of services operating through those platforms face the inevitable ups and downs of operating a business and have a certain level of control over their work.

But for the most part, the assumption that the mere presence of an app as a managerial intermediary somehow eliminates the longstanding protections established by our laws is troubling. And it’s vitally important we pay attention to this shift in mindset because the use of platforms to help consumers perform tasks and make purchases is likely to increase
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. Even products like groceries, once thought to face limited threat from e-commerce, are fair game,
as Amazon’s acquisition of Whole Foods demonstrates
. Sure, a shift in delivery method can increase jobs in distribution centers and companies like FedEx and UPS. But as McDonalds recent announcement of a partnership with Uber for
home delivery
of Big Macs and fries makes clear, it also can be done via independent contractors. Thinking about the nature of these jobs and the responsibilities of the companies involved is as important now as it was in an economy where work was done within the four walls of a duly-designated employer.

Contents

Services are by definition intangible. They are not manufactured, transported or stocked.

Services cannot be stored for a future use. They are produced and consumed simultaneously.

Services are perishable in two regards:

The service provider must deliver the service at the time of service consumption. The service is not manifested in a physical object that is independent of the provider. The service consumer is also inseparable from service delivery. Examples: The service consumer must sit in the hairdresser's chair, or in the airplane seat. Correspondingly, the hairdresser or the pilot must be in the shop or plane, respectively, to deliver the service.

Each service is unique. It can never be exactly repeated as the time, location, circumstances, conditions, current configurations and/or as signed resources are different for the next delivery, even if the same service consumer requests the same service. Many services are regarded as heterogeneous and are typically modified for each service consumer or each service contextual . Example: The taxi service which transports the service consumer from home to work is different from the taxi service which transports the same service consumer from work to home – another point in time, the other direction, possibly another route, probably another taxi driver and cab. Another and more common term for this is heterogeneity.

Both service provider and service consumer participate in the service providers